Knowledge driven decomposition of tumor ezpression profiles

摘要：

BackgroundTumors have been hypothesized to be the result of a mixture of oncogenic events, some of which will be reflected in the gene expression of the tumor. Based on this hypothesis a variety of data-driven methods have been employed to decompose tumor expression profiles into component profiles, hypothetically linked to these events. Interpretation of the resulting data-driven components is often done by posthoc comparison to, for instance, functional groupings of genes into gene sets. None of the data-driven methods allow the incorporation of that type of knowledge directly into the decomposition.

作者: M.H.van Vliet L.F.A.Wessels M.J.T.Reinders

作者单位: Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Compu Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Compu

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 910

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）